Since their recent introduction, conditional random fields
(CRFs) have been successfully applied to a multitude of structured
labelling tasks in many different domains. Examples include natural
language processing ...

Active learning reduces annotation costs for supervised learning by concentrating labelling efforts on the most informative data. Most active learning methods assume that the model structure is fixed in advance and focus ...